Data/hora: 22/09/2024 19:03:34

Biblioteca(s): 	Embrapa Amazônia Oriental.	
Data corrente: 	25/06/2019	
Data da última atualização: 	27/01/2023	
Autoria: 	KAUFMANN, K. C.; FAVERO, F. de F.; VASCONCELOS, M. A. M. de; GODOY, H. T.; SAMPAIO, K. A.; BARBIN, D. F.	
Afiliação: 	Karine Cristine Kaufmann, UNICAMP; Flávia de Faveri Favero, UNICAMP; MARCUS ARTHUR MARCAL DE VASCONCELOS, UNICAMP / CPATU; Helena Teixeira Godoy, UNICAMP; Klicia Araujo Sampaio, UNICAMP; Douglas Fernandes Barbin, UNICAMP.	
Título: 	Portable NIR spectrometer for prediction of palm oil acidity.	
Ano de publicação: 	2019	
Fonte/Imprenta: 	Journal of Food Science, v. 84, n. 3, p. 406-411, 2019.	
DOI: 	10.1111/1750-3841.14467	
Idioma: 	Inglês	
Conteúdo: 	Palm oil is widely used in the food industry, and its quality is associated with the free fatty acids (FFA) content. Determination of FFA in oil is time-consuming, requires chemicals and generates residues. There is trend of applying process analytical technologies (PAT) for fast and nondestructive determination of oil parameters. Portable near-infrared (NIR) spectrometers are cheaper than bench top equipment, and have been used for several tasks in the food processing industry, as it provides fast and reliable data for inline measurements. This study investigated the use of NIR spectra using a portable equipment, combined with both unsupervised and supervised multivariate analyses for identification of palm oil samples with different levels of FFA. Soft independent modeling of class analogy , k-Nearest Neighbors, and linear discriminant analysis models were able to correctly identify 100% of the studied samples with selected wavelengths from NIR spectra. Calibration models were performed for acidity prediction, achieving R2 = 0.97, with root mean square error of prediction = 4.37 for partial least squares model using most relevant wavelengths. These results demonstrate the feasibility of applying a low-cost portable NIR spectrophotometer to predict quality parameters of palm oil.	
Thesagro: 	Composição Química; Dendê; Elaeis Oleifera; Espectrômetro; Óleo Vegetal.	
Categoria do assunto: 	W Química e Física	
Registro original: 	Embrapa Amazônia Oriental (CPATU)	
Exemplares: 	CPATU - (55822-1) - UPC - AP - DD -  -  -  - DIS